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A 2.5d approach to skin wrinkles segmentation

Abstract : Wrinkles or creases are common structures on surfaces. Their detection is often challenging, and can be an important step for many different applications. For instance, skin wrinkle segmentation is a crucial step for quantifying changes in skin wrinkling and assessing the beneficial effects of dermatological and cosmetic anti-ageing treatments. A 2.5D approach is proposed in this paper to segment individual wrinkles on facial skin surface described by 3D point clouds. The method, based on mathematical morphology, only needs a few physical parameters as input, namely the maximum wrinkle width, the minimum wrinkle length, and the minimum wrinkle depth. It has been applied to data acquired from eye wrinkles using a fringe projection system. An accurate evaluation was made possible thanks to manual annotations provided by three different experts. Results demonstrate the accuracy of this novel method.
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Contributor : Etienne Decencière <>
Submitted on : Monday, January 6, 2020 - 1:43:45 PM
Last modification on : Friday, November 6, 2020 - 4:21:46 AM
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Etienne Decencière, Amira Belhedi, Serge Koudoro, Frédéric Flament, Ghislain François, et al.. A 2.5d approach to skin wrinkles segmentation. Image Analysis and Stereology, International Society for Stereology, 2019, 38 (1), pp.75. ⟨10.5566/ias.1925⟩. ⟨hal-02428880⟩

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